/LAV

(CVPR 2022) A minimalistic mapless end-to-end stack for joint perception, prediction, planning and control for self driving.

Primary LanguagePythonApache License 2.0Apache-2.0

Setup

  • To run CARLA and train the models, make sure you are using a machine with at least a mid-end GPU.
  • Please follow INSTALL.md to setup the environment.

Evaluation

  1. Launch carla env CUDA_VISIBLE_DEVICES=0 bash /home/anthony/softwares/CARLA_0.9.10.1/CarlaUE4.sh -quality-level=Epic -carla-rpc-port=2000

  2. Inside the root LAV repo, run

conda activate LAV-env
CUDA_VISIBLE_DEVICES=0 bash run_benchmark.sh assets/routes_lav_valid.xml 2000